Chudi Zhong

According to our database, Chudi Zhong authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems.

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

CoRR, 2023

Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models.

Zhi Chen, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin

CoRR, 2023

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models.

Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OKRidge: Scalable Optimal k-Sparse Ridge Regression.

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization.

Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Exploring the Whole Rashomon Set of Sparse Decision Trees.

Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FasterRisk: Fast and Accurate Interpretable Risk Scores.

Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Sparse Classification for Generalized Linear and Additive Models.

Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Fast Sparse Decision Tree Optimization via Reference Ensembles.

Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong

CoRR, 2021

2020

Generalized Optimal Sparse Decision Trees.

Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer

CoRR, 2020

Generalized and Scalable Optimal Sparse Decision Trees.

Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer

Proceedings of the 37th International Conference on Machine Learning, 2020